Ignite your Data Engineering career with cutting-edge enterprise data tools!
Senior Data Engineer position with AWS & Big Data focus
Work with Enterprise Data Services across multiple business domains
Flexible working arrangements with cutting-edge data technologies
POSITION: Contract: 01 October 2025 31 December 2028
EXPERIENCE: 6-8 Years related Experience
COMMENCEMENT: 01 October 2025
LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation
TEAM: Enterprise Data Services Platforms - Quality Motorbike Purchasing & Supplier Marketing & Research Finance Sales Customer Customer Support ITO and OTD
Qualifications/Experience
- Relevant IT/Business/Engineering Degree
- Certifications (preferred): AWS Certified Cloud Practitioner AWS Certified SysOps Associate AWS Certified Developer Associate AWS Certified Architect Associate AWS Certified Architect Professional Hashicorp Certified Terraform Associate
Essential Skills Requirements
Above average experience/understanding (in order of importance):
- Terraform
- Python 3x
- SQL - Oracle/PostgreSQL
- Py Spark
- Boto3
- ETL
- Docker
- Linux/Unix
- Big Data
- Powershell/Bash
- Group Cloud Data Hub (CDH)
- Group CDEC Blueprint
Basic experience/understanding of AWS Components (in order of importance):
- Glue
- CloudWatch
- SNS
- Athena
- S3
- Kinesis Streams (Kinesis Kinesis Firehose)
- Lambda
- DynamoDB
- Step Function
- Param Store
- Secrets Manager
- Code Build/Pipeline
- CloudFormation
- Business Intelligence (BI) Experience
- Technical data modelling and schema design (not drag and drop)
- Kafka
- AWS EMR
- Redshift
- Experience in working with Enterprise Collaboration tools such as Confluence JIRA etc
- Experience developing technical documentation and artefacts
- Knowledge of data formats such as Parquet AVRO JSON XML CSV etc
- Experience working with Data Quality Tools such as Great Expectations
- Experience developing and working with REST APIs is a bonus
- Basic experience in Networking and troubleshooting network issues
Advantageous Skills Requirements
- Demonstrate expertise in data modelling Oracle SQL
- Exceptional analytical skills analysing large and complex data sets
- Perform thorough testing and data validation to ensure the accuracy of data transformations
- Strong written and verbal communication skills with precise documentation
- Self-driven team player with ability to work independently and multi-task
- Experience building data pipeline using AWS Glue or Data Pipeline or similar platforms
- Familiar with data store such as AWS S3 and AWS RDS or DynamoDB
- Experience and solid understanding of various software design patterns
- Experience preparing specifications from which programs will be written designed coded tested and debugged
- Strong organizational skills
Role Requirements
- Data Engineers are responsible for building and maintaining Big Data Pipelines using Group Data Platforms.
- Data Engineers are custodians of data and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.
- Data Engineers are also expected to: Stay up to date with the latest data engineering tools technologies and industry trends.
- Identify opportunities for process improvements and automation to enhance the efficiency and reliability of data pipelines.
- Explore and evaluate new data engineering approaches and technologies to drive innovation within the organisation.
- Mentor train and upskill members in the team.
NB:
- South African citizens/residents preferred. Valid work permit holders will be considered.
- By applying you consent to be added to the database and receive updates until you unsubscribe.
- If you do not receive a response within 2 weeks please consider your application unsuccessful.
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